Protein function annotation by homology-based inference.

Yaniv Loewenstein; Domenico Raimondo; Oliver C. Redfern; James Watson; Dmitrij Frishman; Michal Linial; Christine Orengo; Janet Thornton; Anna Tramontano

doi:10.1186/gb-2009-10-2-207

Protein function annotation by homology-based inference.

Yaniv Loewenstein^*
, Domenico Raimondo
, Oliver C. Redfern
, James Watson
, Dmitrij Frishman
, Michal Linial
, Christine Orengo
, Janet Thornton
, Anna Tramontano

^*Corresponding author for this work

Department of Biological Chemistry

Research output: Contribution to journal › Review article › peer-review

186 Scopus citations

Abstract

With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.

Original language	English
Pages (from-to)	207
Number of pages	1
Journal	Genome Biology
Volume	10
Issue number	2
DOIs	https://doi.org/10.1186/gb-2009-10-2-207
State	Published - 2009

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title = "Protein function annotation by homology-based inference.",

abstract = "With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.",

author = "Yaniv Loewenstein and Domenico Raimondo and Redfern, \{Oliver C.\} and James Watson and Dmitrij Frishman and Michal Linial and Christine Orengo and Janet Thornton and Anna Tramontano",

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T1 - Protein function annotation by homology-based inference.

AU - Loewenstein, Yaniv

AU - Raimondo, Domenico

AU - Redfern, Oliver C.

AU - Watson, James

AU - Frishman, Dmitrij

AU - Linial, Michal

AU - Orengo, Christine

AU - Thornton, Janet

AU - Tramontano, Anna

PY - 2009

Y1 - 2009

N2 - With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.

AB - With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.

UR - https://www.scopus.com/pages/publications/60749125063

U2 - 10.1186/gb-2009-10-2-207

DO - 10.1186/gb-2009-10-2-207

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C2 - 19226439

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SN - 1474-7596

VL - 10

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JO - Genome Biology

JF - Genome Biology

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Protein function annotation by homology-based inference.

Abstract

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